We previously identified CK1α as a novel tumor suppressor in melanoma and reported that the loss of CK1α leads to increased proliferation and invasive growth of melanoma cells by strong activation of the Wnt/βcatenin signaling pathway.
Trang 1R E S E A R C H A R T I C L E Open Access
dominant role within the CK1 family in
melanoma progression
Tobias Sinnberg, Jun Wang, Birgit Sauer and Birgit Schittek*
Abstract
of CK1α leads to increased proliferation and invasive growth of melanoma cells by strong activation of the Wnt/β-catenin signaling pathway
Methods: In this study we analyzed expression and the functional effects of the dominantly expressed CK1- isoformsα,
δ and ε in melanoma cells by quantitative real-time PCR, western blot and immunohistochemistry We down-regulated CK1 kinase activity with isoform specific siRNAs and small molecule inhibitors Vice versa we overexpressed the CK1 isoformsα, δ and ε using viral vectors and tested the biological effects on melanoma cell proliferation, migration and invasion
Results: We show that protein expression of all three CK1-isoforms is downregulated in metastatic melanoma cells compared to benign melanocytic cells Furthermore, the CK1δ and ε isoforms are able to negatively regulate expression
of each other, whereas CK1α expression is independently regulated in melanoma cells Inhibition of the expression and activity of CK1δ or CK1ε by specific inhibitors or siRNAs had no significant effect on the growth and survival of
metastatic melanoma cells Moreover, the over-expression of CK1δ or CK1ε in melanoma cells failed to induce cell death and cell cycle arrest although p53 signaling was activated This is in contrast to the effects of CK1α where up-regulated expression induces cell death and apoptosis in metastatic melanoma cells
Conclusion: These data indicate that CK1α has a dominant and non-redundant function in melanoma cells and that the CK1δ and ε isoforms are not substantially involved in melanoma progression
Keywords: CK1, Melanoma, Beta-catenin, p53
Background
Malignant melanoma is the most aggressive form of skin
cancer whose incidence still increases worldwide
Mela-nomas arise from the transformation of benign
melano-cytes or nevi which can develop into dysplastic lesions
before progressing into primary melanomas that can
fur-ther invade into the dermis and metastasize via
hematogenous or lymphogenic routes to distant sites [1]
Initiation and progression of melanoma have been
asso-ciated with activation of key signaling pathways involved
in proliferation, survival and dissemination These
include the Ras/Raf/MEK/ERK (MAPK) and PI3K/AKT signaling pathways as well as the Wnt/beta-catenin sig-naling pathway [2]
Protein kinases play a central role in signal transduction
By reversible phosphorylation of its substrate proteins, they exert influence on their activity, localization and function and thus are involved in almost all cellular pro-cesses and functions The casein kinases (CK) belong to the serine/threonine kinases that are involved in a variety
of cellular processes Isoforms of the casein kinase 1 (CK1) family have been shown to phosphorylate key regu-latory molecules involved in cell cycle, transcription and translation, the structure of the cytoskeleton, cell-cell ad-hesion and in receptor-coupled signal transduction CK1 isoforms are key regulators of several cellular growth and
* Correspondence: birgit.schittek@med.uni-tuebingen.de
Department of Dermatology, Division of Dermatooncology,
Eberhard-Karls-University Tübingen, Liebermeisterstr 25, D-72076 Tübingen,
Germany
© 2016 The Author(s) Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made The Creative Commons Public Domain Dedication waiver
Trang 2survival processes, including Wnt, Hedgehog and p53
sig-naling, cell cycle control, DNA repair and apoptosis [3, 4]
In humans, six CK1 isoforms exist (α, γ1, γ2, γ3, δ and
ε) and several splice variants for CK1α, δ, ε and γ3 have
been identified All CK1 isoforms possess a highly
con-served kinase domain, but differ in length and sequence
of the N-terminal and especially the C-terminal
non-catalytic domains CK1α plays a role in the mitotic
spin-dle formation during cell division and in DNA repair
mechanisms and further participates in RNA metabolism
[3, 4] The CK1 isoforms δ and ε are known to be
im-portant regulators in the circadian rhythm of eukaryotic
cells CK1α regulates apoptotic signaling pathways,
how-ever, there seem to be cell type-specific differences In
addition to the involvement in apoptotic signaling
path-ways, the CK1 isoformsα, δ and ε have important
regu-latory functions in the Wnt/β-catenin signaling pathway
and seems to act in a concerted manner [5, 6]
Dishev-elled (Dvl) is a key component in the Wnt/β-catenin
sig-naling pathway Upon pathway activation by Wnts, Dvl
becomes phosphorylated by CK1δ/ε [7] CK1α acts as a
negative regulator of the the Wnt/β-catenin signaling
pathway by acting as a priming kinase for β-catenin
phosphorylation on Ser45 which is a pre-requisite for
further phosphorylations by GSK3β at the Ser/Thr
resi-dues 33, 37 and 41 [6, 8] Without this priming
stabilized A down-regulation of CK1α thus leads - due
to the lack of “priming” phosphorylation - to an
accu-mulation of cytoplasmic β-catenin Indeed, we could
show in metastatic melanoma cells that CK1α is
down-regulated which correlated with increased β-catenin
stability [9]
The tumor suppressor protein p53 as well as the p53
interacting proteins MDM2 and MDMX are substrates of
the three CK1 isoforms CK1α, CK1δ and CK1ε In
differ-ent cell systems CK1α and CK1δ are described to regulate
p53 activity by phosphorylation of p53 itself or the p53
interacting proteins MDM2 and MDMX [3, 4, 10, 11]
Furthermore, the activity of p53 correlates with CK1α and
CK1δ expression under stress conditions which points to
an autoregulatory loop between CK1 isoforms and p53
[10, 11]
Some evidence points to an altered expression or
ac-tivity of different CK1 isoforms in tumor cells Database
analyses from tumor cell lines and tissues indicated that
the CK1δ and CK1ε isoforms might be slightly
overex-pressed on RNA level in some tumor types including
melanoma, whereas RNA expression of CK1α is more
variable but low in melanoma [4] The CK1γ1-3
iso-forms seem to be rather low in different cancers types
Expression analysis of CK1α in melanoma datasets
clearly revealed a reduction in mRNA expression during
melanoma progression and we could confirm the
reduction of CK1α expression in metastatic melanoma cells on RNA and protein level [4, 9] However, expres-sion of the other CK1 isoforms has not been systematic-ally analyzed in melanoma cells until now Furthermore,
it is not known whether there is a functional redundancy
of the CK1 isoforms in the regulation of cell survival and tumorigenesis since several substrates are shared within the CK1 family such asβ-catenin in the canonical Wnt pathway and p53 or Mdm-2 in the p53 signaling pathway [3, 4]
To identify the role of the different CK1 isoforms dur-ing melanoma progression we analyzed in this study a) the expression of the CK1 isoforms in melanoma cells of different progression stages in vitro and in vivo, b) the reciprocal influence of CK1 isoform expression for the
α, δ and ε family members and c) the functional effects
of gene expression modulation of individual CK1-isoforms (alpha, delta and epsilon) on melanoma cell survival, proliferation, migration and invasion
Methods
Cell culture
Human melanoma cell lines were cultured for this study
in RPMI 1640 medium with 2 mM L-Glutamine and
10 % fetal bovine serum (FBS; Biochrom, Berlin, Germany), penicillin, and streptomycin They were sub-cultured 1–2 times a week when they reached 80 % con-fluency using Trypsin/EDTA (0.05 %/0.02 %) for detachment [9, 12] The melanoma cell lines
Malme-3 M, MDAMB4Malme-35, M14, UACC62, SKMel28 and AMalme-375 originated from the NCI60 cell panel of the National Cancer Institute (NCI-DCTD repository) The melan-oma cell lines WM35, WM115, WM793, WM3734, WM266-4, WM1366, 1205 LU, and 451 LU were gener-ously provided by M Herlyn (Philadelphia, USA) SbCl2 and SKMel19 were provided by C Garbe (Tübingen, Germany) SKMEL30 was obtained from the DSMZ (Braunschweig, Germany) and SKMel147 was a kind gift
of M Soengas (Madrid, Spain) Melanocytes, primary fi-broblasts and keratinocytes were isolated from human foreskin as described previously [13–15] All of the cell lines used in our study were authenticated by sequence analysis of defined genes
siRNA mediated CK1 knockdown
2.5 × 105melanoma cells in 6well cavities were transfected with 50 pmol siRNA using RNAiMAX (Invitrogen, Darm-stadt, Germany) according to the manufacturers protocol The following siRNAs were used: siCSNK1A1 sense gaauuugcgauguacuuaa-dTdT, siCSNK1A1 antisense uuaa guacaucgcaaauuc-dTdG; siCSNK1D sense ugaucagucgca
ugauca-dTdT; siCSNK1E sense ccuccgaauucucaacaua-dTdT, siCSNK1E antisense uauguugagaauucggagg-dGdA;
Trang 3siNONSIL sense acaacauucauauagcugccccc, siNONSIL
antisense gggggcagcuauaugaauguugu (all synthesized by
biomers.net, Ulm, Germany)
Overexpression of CK1α/ δ/ ε
Wild type CK1 isoform cDNA was amplified using the
Human Multiple Tissue cDNA (MTC) Panel II
(Clon-tech, Saint-Germain-en-Laye, France) and isoform
spe-cific primers CK1 cDNAs were cloned into the
inducible lentiviral vector PLVX-tight-PURO (Clontech)
by using In-fusion-HD Liquid Kits (Clontech) according
to the manufacturer’s protocol Sanger-sequencing was
performed for verification of the correct cloned cDNA
Lentiviral particles were produced in HEK293T cells
using the second-generation packing and envelope
plas-mids pCMVΔR8.2 and pMD2.G Cells were transduced
with lentiviruses as described previously [16] and
doxy-cycline inducible melanoma cells were generated
accord-ing to the manufacturer’s instructions (Tet-on Advanced
System, Clontech) For overexpression of CK1α the
pre-viously described adenovirus was used [9]
Inhibitor and doxycycline treatments
Small molecules were dissolved in DMSO and
treat-ments were carried out using the indicated
concentra-tions with vehicle controls The following substances
were used: Pyrvinium pamoate (Sigma, Taufkirchen,
Germany), IC261 (Sigma), D4476 (Sigma), PF670462
(Sigma) Doxycycline hyclate (Applichem, Darmstadt,
Germany) was dissolved in ddH2O and used at the
indi-cated concentrations
4-Methylumbelliferyl heptanoate (MUH) viability assay
For the analysis of proliferation and survival of
mel-anoma cells, 2.5x103 cells were seeded into 96-well
plates and cultured with the indicated inhibitors for
the indicated periods of time After washing of the
cells with PBS, 100 μg/ml 4-methylumbelliferyl
hep-tanoate (Sigma, Taufkirchen, Germany) in PBS were
added and incubated for 1 h at 37 °C Microplates
were measured in a fluorescence microplate reader
(Berthold, Bad Wildbad, Germany) with Ex355/Em460
nm in sixtuplicates Dose–response curves were
gen-erated using GraphPad Prism version 6 (GraphPad
Prism Software Inc.)
Cell cycle assay
2 x105melanoma cells per 6-well cavity were seeded and
either transfected using siRNA or treated with 4 μg/ ml
doxycycline to induce the overexpression of CK1δ and ε
or transduced with the adenovirus (CK1α
permeabilization and fixation of the cells in 70 %
ice-cold ethanol for at least 1 h Then they were
re-suspended in PBS with 100μg/ml RNAseA (Applichem, Darmstadt, Germany) and 50 μg/ml propidium iodide (Sigma, Taufkirchen, Germany) and stained for 30 min FACS analysis for the detection of the distribution of the cells in the each cell cycle phase was performed with a LSRII FACS (BD, Heidelberg, Germany) using the FACSDiva software
3D Melanoma spheroid culture
2.5 × 103SKMel19 cells were cultured on 1.5 % noble agar (Difco/BD, Heidelberg, Germany) coated 96well plates to form spheroids within 3 days For overexpression of CK1 isoforms either 2 μg/ml doxycycline were added on the second day or the medium was supplemented with the adenovirus After 3 days spheroids were embedded into
1 mg/ml collagen I (Corning/BD, Heidelberg, Germany) diluted in complete growth medium and cultured for four more days In case of treatment inhibitors were added to the medium Daily microphotographs were taken and the area of the spheroids was measured using ImageJ and nor-malized to the size at day 0 after collagen embedding for the evaluation of tumor cell invasion into the collagen matrix After 4 days spheroids were stained using 1 μM calcein-AM (Life technologies, Darmstadt, Germany) and
100 ng/ml propidium iodide (Sigma, Taufkirchen, Germany) for fluorescence live-dead staining of the mel-anoma cells Fluorescence was detected with an Axiovert fluorescence microscope (Zeiss, Jena, Germany) Mean fluorescence intensities of the red channel were used to determine relative cell death induction
Quantitative PCR
Total RNA was extracted from cells using the NucleoSpin RNA kit (Machery-Nagel, Dueren, Germany) Complemen-tary DNA was made out of 1 μg total RNA using Super-Script II reverse Transcriptase (Invitrogen, Darmstadt, Germany) according to the manufacturer’s protocol Quan-titative real-time PCR (qRT-PCR) was performed with the SYBR green mix LightCycler 480 (Roche, Mannheim Germany) The relative expression levels of CK1 isoforms were determined using the ΔΔCt-method method with ACTINB or 18S rRNA as reference genes The primer se-quences were as follows: CSNK1A1 forward 5’-aatgttaaag-cagaaagcagcac-3’ and reverse 5’-tcctcaattcatgcttagaaacc-3’ CSNK1D forward acaacgtcatggtgatggag-3’ and reverse 5’-gaatgtattcgatgcgactgat-3’ CSNK1E forward 5’-tgagtat-gaggctgcacagg-3’ and reverse 5’-tcaaatggcacacttgtctgt-3’ CSNK1G1 forward 5’-ctgtgaccgaacatttactttga-3’ and reverse 5’-tgcacgtattccattcgaga-3’ CSNK1G2 forward 5’-gacctt-cacgctcaagacg-3’ and reverse 5’-ccggtagattaggctcttggt-3’ CSNK1G3 forward 5’-tgcaacaatccaaaaaccagt-3’ and reverse 5’-ctgcaaggtgagctctcaaa-3’ ACTINB forward 5’-ttgttacag-gaagtcccttgcc-3’ and reverse 5’-atgctatcacctcccctgtgtg-3’
Trang 418S rRNA forward 5’-cggctaccacatccaaggaa-3’ and reverse
5’-gctggaattaccgcggct-3’
Western blot
Protein lysates (30μg) were subjected to SDS-PAGE and
semi-dry blotting onto PVDF membranes (Roche,
Mannheim, Germany) The antibodies used were as
fol-lows: anti-CK1α (Santa Cruz Biot., Heidelberg,
Germany), anti-CK1δ (Santa Cruz Biot.), anti-CK1ε
(Santa Cruz Biot), anti-p53 (Santa Cruz Biot), anti-p21
(Cell Signalling, Heidelberg, Germany), anti-β-catenin
(Cell Signalling), anti p-S45-β-catenin (Cell Signalling)
anti-β-actin (Cell Signalling) HRP conjugated secondary
antibodies were used (Cell Signalling and Santa Cruz)
and ECL substrates for chemoluminiscent detection
Densitometric semi-quantification was done by
normal-izing the band intensities of the target protein to the
sig-nal ofβ-actin with Scion Image
Luciferase reporter assay
2.5 × 105melanoma cells were seeded into 6well plates
and transfected with 2μg Super8xTOPFlash 16 h porst
seeding using ScreenFectA (Genaxxon, Ulm, Germany)
as recommended by the manufacturer Twenty-four
hours later cells were reseeded into 96 well cavities and
the expression of isoforms was induced by the addition
of doxycycline or of the adenovirus for 48 h Then cells
were lysed with 50 μl of passive lysis buffer (Promega,
Mannheim, Germany) and luciferase activity was
ana-lyzed using D-luciferin as a substrate (Sigma) in a
TriS-tar luminometer (Berthold, Bad Wildbad, Germany)
Immunofluorescence analysis of melanocytic biopsies
Nevi, primary and metastatic melanoma FFPE biopsies
were sectioned, heat induced epitope retrieval (HIER)
was performed using citrate buffer pH6 and the sections
were stained using 1:100 rabbit anti-CK1α (Abcam ab
136052), 1:1000 mouse anti-CK1δ (Abcam ab85320) and
1:100 goat anti-CK1ε (Santa Cruz sc-6471) As
second-ary antibodies donkey goat(Cy3), donkey
anti-mouse(Cy2) and donkey anti-rabbit(Cy5) were used (all
Germany) before staining the nuclei with 1μg/ml DAPI
(Sigma, Taufkirchen, Germany) Biopsies were
micro-scopically analyzed using a confocal microscope system
(Leica TCS SP2, Heidelberg, Germany) and the mean
fluorescence intensity of representative cells was
semi-quantification the mean fluorescent intensities of at least
30 cells per sample were background subtracted and
presented as relative fluorescence units
Kinase assay (K-LISA)
A 23mer peptide containing the exon 3 phosphorylation sites of β-catenin was synthesized as previously described [9] and the NH2 terminus was labeled with biotin Melanoma cells were lysed using passive lysis buffer (Promega, Mannheim, Germany), and 5μg of the protein lysates were incubated in kinase buffer (Cell Sig-nalling, Heidelberg, Germany) together with 10 μg of
streptavidin-coated 96well plates (Life technologies, Darmstadt, Germany) Plates were washed with PBS-T and anti–phospho-Ser45-β-catenin antibody (Cell Sig-naling) was added (1:500) HRP-conjugated secondary antibody (Cell Signalling) was used to detect the phos-phorylated substrate measuring TMB substrate (Cell Sig-nalling) at 450 nm in a microplate reader (Berthold, Bad Wildbad, Germany)
Migration and invasion assay Skin reconstructs
Organotypic skin reconstructs were prepared as de-scribed previously [13, 17, 18] SbCl2 melanoma cells were transfected with the indicated siRNAs 24 h before epidermal reconstruction Ten days after air-lifting the model reconstructs were fixed, paraffine embedded, sec-tioned, and H&E staining revealed the invasive capacity after knockdown of CK1α
Boyden chamber experiments
Invasion was assayed using invasion chambers coated with or without Matrigel basement membrane matrix (BD Biocoat Matrigel invasion chambers, BD Biosciences, Heidelberg, Germany) as described previously [9, 16] After incubation for 20 h at 37 °C the invaded cells were fixed and counted after cell staining with hematoxilin-eosin The assays were performed in tripli-cates, six fields were counted per transwell filter and the invasion index was calculated according to the manufacturerer’s protocol
Real-time migration assay
The kinetics of cell migration was assayed using the xCELLigence Real-Time Cell Analyzer (RTCA DP; Roche) CIM-plate 16 wells used and 10,000cells were plated in each well using serum-free DMEM The lower medium chamber contained DMEM with 10 % FCS Cells were allowed to settle for 30 min at room temperature before being placed in the RTCA DP in a humidified incubator at 37 °C with 5 % CO2 Data were recorded every 15 min for 24 h Plotted curves represent the averages from three independent measurements
Trang 5Fig 1 (See legend on next page.)
Trang 6Expression levels of the CK1- isoformsα, δ and ε are
downregulated in metastatic melanoma cells in vivo
We analyzed expression of the CK1- isoformsα, δ and ε
on RNA and protein level in normal human melanocytes
(NHM) and melanoma cell lines representing the
differ-ent progression stages in melanoma from radial growth
phase (RGP), vertical growth phase (VGP) and
meta-static melanoma (MM) (Fig 1a-c) We found a
consist-ent downregulation of CK1α expression on RNA and
protein level in RGP, VGP and metastatic melanoma cell
lines compared to NHMs NHMs expressed significantly
more CK1δ RNA compared to the melanoma cell lines
However, CK1δ protein expression was variable without
significant differences in the analyzed melanoma cell
lines CK1ε expression was low in all cell lines analyzed
and could not be detected in NHMs on protein level
(Fig 1a-c) CK1 γ1, γ2 and γ3 RNA expression was
al-most not detectable in the cell lines analyzed (Additional
file 1: Figure S1A) Therefore, we focused in the
follow-ing experiments on the CK1 isoformsα, δ and ε
Next, we analyzed RNA and protein expression of the
CK1 isoformsα, δ and ε in vivo in tissue samples of
be-nign nevi, primary melanomas and metastatic
melano-mas using real-time PCR and immunofluorescence
analyses, respectively RNA expression of all three CK1
isoforms did not differ significantly in the different tissue
types (Fig 1c) By trend, CK1α RNA levels were reduced
in preparations of metastatic melanoma In contrast, on
protein level we found a significant downregulation of
all three CK1- isoforms in metastatic melanomas
com-pared to primary melanoma cells (Fig 1d) In summary,
we found in melanoma cell lines in vitro and in
melan-oma cells in vivo a consistent downregulation of CK1α
RNA and protein expression in metastatic melanoma
cells Furthermore, we detected a downregulation of
CK1δ and ε protein expression in metastatic melanoma
cells in vivo compared to primary melanoma cells This
did not correlate with RNA expression and with the
ex-pression levels of melanoma cells in vitro
CK1δ and ε expression is partially reciprocally regulated
by a posttranscriptional mechanism in melanoma cells
So far it remains unknown whether the individual CK1 isoforms can regulate expression of the other isoforms
in melanoma cells Therefore, we downregulated expres-sion of the CK1 isoforms α, δ or ε in the two human melanoma cell lines SbCl2 and SKMEL19 using isoform-specific siRNAs and analyzed RNA and protein expres-sion of all three CK1 isoforms As shown in Fig 2a, downregulation of CK1α or CK1δ did not affect protein expression of the other isoforms in both cell lines How-ever, downregulation of CK1ε expression induced CK1δ expression most strongly in SKMEL19 cells (Fig 2a)
slightly affect CK1ε protein expression in SKMEL19 cells However, downregulation of CK1α and CK1ε in-creased CK1δ protein expression, again most strongly in SKMEL19 cells Downregulation of CK1δ and CK1ε had
no effect on CK1α expression These data suggest that CK1δ and ε regulate each other in a compensatory way and the expression is not or only mildly influenced by CK1α, whereas CK1α expression is independently regu-lated from CK1δ and ε
To analyze whether overexpression of the specific iso-forms resulted in similar effects we upregulated specifically CK1α expression by adenoviral gene transfer as previously reported [9] and CK1δ and CK1ε by a doxycycline-inducible lentiviral system in the two human melanoma cell lines SbCl2 and SKMEL19 (Fig 2b) Overexpression of CK1α diminished only expression levels of CK1ε in SbCl2 and only at the highest induced expression level of CK1α Induction of CK1δ reduced CK1ε protein levels in SKMel19 cells whereas elevated CK1ε levels were associ-ated with lower CK1δ protein expression in SbCl2 cells (Fig 2b) CK1α expression was not significantly affected by upregulation of the other CK1- isoforms These data indi-cate that theδ and ε isoforms negatively regulate expression
of each other Analysis of RNA expression of the individual CK1 isoforms after induction of gene expression using real-time PCR indicated that overexpression of CK1α, CK1δ or
(See figure on previous page.)
Fig 1 Expression of CK1 - isoforms during melanoma progression a Relative mRNA expression (SYBR green real-time PCR) of three CK1 isoforms
in melanocytic cells, namely normal human melanocytes (NHM), cell lines derived from primary radial growth phase (RGP) plus vertical growth phase melanoma (VGP) and cell lines from metastatic melanoma (MM) Normalized data (to ACTINB) are presented as scatter plot (mean with SEM) Kuskal-Wallis statistics with Dunn ’s multiple comparison was used to test for significant differences (* p < 0.05; ** p < 0.01) b CK1α, δ and ε protein expression was determined by western blot analyses Semi-quantification (ratios CK1/ β-actin) are shown as scatter plots Kuskal-Wallis statistics with Dunn ’s multiple comparison was used to test for significant differences (* p < 0.05; ** p < 0.01) c Relative mRNA expression of three CK1- isoforms of patient-derived tissue samples The analysis of CK-1 isoform expression was performed using benign melanocytic nevi (n = 4), primary malignant melanomas (n = 9), and metastatic melanoma (n = 13) by quantitative real-time PCR Normalized data are presented as scatter plot (mean with SEM) and Kuskal-Wallis statistics with Dunn ’s multiple comparison was used to test for significant differences (* p < 0.05; ** p < 0.01).
d CK1 α (blue), δ (green) and ε (red) expression in tissue sections of benign nevi (n = 11), primary melanomas (n = 11) or melanoma metastases (n = 16) was determined by immunofluorescence staining followed by confocal analysis Kuskal-Wallis statistics with Dunn ’s multiple comparison was used to test for significant differences (* p < 0.05; ** p < 0.01)
Trang 7CK1ε did not significantly influence RNA expression of the
other CK1- isoforms (Fig 2c) In summary, our data show
that CK1δ and CK1ε negatively regulate expression of the
respective other CK1 isoforms on a post-transcriptional
level, whereas CK1α expression is not significantly affected
by the other CK1- isoforms in melanoma cells
Modulation of CK1δ and CK1ε expression does not significantly influence melanoma cell viability and proliferation
Next, we looked for the functional effects of modulation
of CK1- isoform specific gene expression on survival and proliferation of melanoma cells First, we knocked
Fig 2 CK1 δ and ε reciprocally regulate their expression by a post-transcriptional mechanism a Specific siRNA mediated knockdown of CK1- iso-forms in SbCl2 (left panel) and SKMEL19 (right panel) melanoma cells The influence of the corresponding isoiso-forms on the other two isoiso-forms was evaluated by western blotting 48 h post siRNA transfection Beta-actin detection served as a loading control b Overexpression of CK1 α, δ and ε in SbCl2 and SKMEL19 melanoma cells by viral transduction Lysates were prepared 48 h after overexpression and western blots were probed with isoform specific antibodies and β-actin as a loading control c Relative mRNA expression analysis of the three CK1 isoforms α, δ and
ε after overexpression of the respective isoforms 48 h post induction/ transduction 18S rRNA was used as reference gene Ad5-LacZ transduced cells served as control for CK1 α overexpression Non-induced (Dox -) cells were used as control for overexpression of CK1δ and ε All values were referenced to untreated SbCL2 and SKMEL19 control cells Mutliple t-test was used to calculate statistically significant (* p < 0.05) expression differences after overexpression
Trang 8Fig 3 Modulation of CK1 δ and CK1ε expression does not significantly influence melanoma cell viability and proliferation a Inhibition of isoform specific CK1- activity via siRNA mediated knockdown of CK1 α, CK1δ and CK1ε SbCl2 (left diagram) and SKMEL19 (right diagram) cells were used and cell growth was monitored for 4 days using the MUH viability assay Shown is the mean with SD of hexatuplicates b Inhibition of CK1-activity via different small molecules (upper left and right plus lower left diagram) with predominant efficacy for CK1 δ and CK1ε Dose response curves using viability measurements (MUH assay) 72 h after treatment with the inhibitors are shown Mean values with SD values of
hexatuplicates are shown The fourth diagram (lower right) shows dose response curves of melanoma cell lines treated with the allosteric CK1 α activator pyrvinium at 72 h post start of treatment c Effects of CK1 specific small molecules on 3D spheroid SKMel19 cultures Spheroids were treated with the indicated concentrations of small molecules for CK1- inhibition or CK1 α activation for 4 days Live-dead staining with calcein-AM (1 μM) and propidium iodide (100 ng/ml) and size measurements are shown Mean with SEM values of five spheroids are used Multiple t-tests against vehicle controls were used for statistical analysis (* p < 0.05) d Effect of overexpression of the isoforms CK1 α, CK1δ and CK1ε in SbCL2 and SKMEL19 melanoma cells Isoforms were overexpressed as previously (Fig 2b, c) and viability was assessed 72 h after overexpression of the respective CK1- isoforms by MUH assays Shown are changes in viability after overexpression as mean values with SD of hexatuplicates are shown (*** p < 0.001)
Trang 9down CK1α, CK1δ or CK1ε expression in SbCl2 and
(Fig 2a) Ninety-six hours after transfection we analyzed
survival and proliferation of the cells (Fig 3a, Additional
file 2: Figure S2A) In both cell lines the downregulation
of CK1δ or CK1ε expression alone had no significant
ef-fect on cell growth or cell cycle However,
downregula-tion of CK1α expression retarded cell growth and
increased the number of cell in the G1 phase of the cell
cycle in SbCl2 melanoma cells, but not in SKMEL19
cells (Fig 3a, Additional file 2: Figure S2A, B)
confirm-ing our previous study [9] To further ascertain the effect
of reduced CK1 activity on melanoma cell survival and
proliferation we treated five different human melanoma
cell lines with increasing doses of the CK1δ/CK1ε
dom-inant inhibitors D4476 [19], PF670462 [20] or IC261
[21] and measured cell viability 72 h after treatment As
shown in Fig 3b all three inhibitors did not significantly
reduce melanoma cell viability In a 3D spheroid culture
model using collagen-embedded SKMEL19 spheroids
similar results were obtained (Fig 3c) At the highest
concentration of IC261 a reduction in the size of the
spheroids was observed which, however, was not
accom-panied with cell death induction (Fig 3c) Only
treat-ment of the cells with the CK1α activator pyrvinium
resulted in propidium iodide positive dead cells (Fig 3c)
Also, overexpression of CK1δ or CK1ε in SbCl2 or
SKMEL19 melanoma cells did not change melanoma cell
viability and cell cycle (Fig 3d, Additional file 2: Figure
S2C) In contrast, activation of CK1α by pyrvinium [22]
(Fig 3b, c) or overexpression of CK1α in SbCl2 or
SKMel19 melanoma cells (Fig 3d) significantly reduced
melanoma cell viability and induced apoptosis (Figs
3b-d, Additional file 2: Figure S2C) These data indicate that
CK1δ and CK1ε are not essential for melanoma cell
sur-vival and proliferation, whereas overexpression of CK1α
reduces viability of melanoma cells This suggests that
CK1α is the most important CK1 isoform in melanoma
cells with a non-redundant function in tumorigenesis
CK1α but not CK1δ and ε functionally affects melanoma
cell migration and invasion
In order to evaluate a further putative function of the
CK1 isoforms in tumorigenesis - an increase in the
migratory behavior of the tumor cells - we induced
the expression of CK1α, δ and ε isoforms in
SKMEL19 melanoma cells by doxycycline treatment
and measured the migratory potential of the cells
over time using the XCelligence system
Overexpres-sion of CK1δ or ε in the melanoma cells led to no
difference in the migratory behavior compared to the
non-induced cells (Fig 4a) However, overexpression
of CK1α significantly decreased migration of the
mel-anoma cells 3D spheroid assays confirmed the results
revealing no influence of the CK1- isoforms δ and ε
on melanoma cell invasion of SKMEL19 cells into a collagen I matrix (Fig 4b) CK1α overexpression sig-nificantly reduced the invasive growth within the monitored 4 days and again induced cell death To further evaluate the effect of the CK1- isoforms on the invasive potential of melanoma cells we used an organotypic skin reconstruct using SbCL2 cells with siRNA mediated knockdown of the three CK1- iso-forms which were seeded together with primary hu-man keratinocytes as an epidermal layer Since SbCL2 cells originate from an RGP melanoma they do not have the capacity to invade deep into the dermal part
by breaking through the basal membrane which sepa-rates epidermal from dermal parts Knockdown of CK1α resulted in a pro-invasive phenotype indicated
by dermally invading melanoma cell nests as we showed before [9] Knockdown of the other two CK1-isoforms δ or ε had no detectable effects on the growth characteristics in the skin reconstruct model (Fig 4c) Our data indicate that CK1δ and ε do not affect survival and migration/invasion of melanoma cells in contrast to CK1α which seems to be the dominant active CK1- isoform in melanoma cells
CK1α, δ and ε differentially influence beta-catenin and p53/p21 signaling in melanoma cells
It is known thatβ-catenin is a substrate of CK1α, δ and
ε [3] Whereas phosphorylation of β-catenin at Ser45 by CK1α results in degradation of β-catenin, CK1 δ/ε are involved in the activation of the Wnt/β-catenin pathway
by the phosphorylation of dishevelled (Dvl) We ana-lyzed whether overexpression of the individual CK1- iso-forms as described above affects expression and activity
ofβ-catenin signaling Interestingly, β-catenin total pro-tein levels did not change 1–2 days after CK1- isoform specific overexpression (Fig 5a) However, as expected phosphorylation of Ser45 of β-catenin was increased after overexpression of CK1α (Additional file 3: Figure S3A) and this directly correlated with the influence of CK1α levels on the capacity to phosphorylate Ser45 in melanoma cells in a kinase assay (Fig 5b) Overexpres-sion of CK1α in SKMEL19 enhanced the kinase activity causing Ser45 phosphorylation, whereas the respective knockdown in SbCl2 decreased this activity The other CK1- isoforms δ and ε did not show significant impact
on the phosphorylation of Ser45 ofβ-catenin (Fig 5b)
In order to measure the general effect of CK1- iso-forms on the canonical Wnt-signaling pathway we used
a firefly reporter system (Super8xTOPFlash) and tested the luciferase activity in lysates of SKMEL19 cells after induction of CK1- isoform specific overexpression As expected, CK1α overexpression decreased the endogen-ous signaling activity, whereas CK1δ and ε enhanced the
Trang 10Fig 4 (See legend on next page.)